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Baile F, Calonje M. Dynamics of polycomb group marks in Arabidopsis. CURRENT OPINION IN PLANT BIOLOGY 2024; 80:102553. [PMID: 38776572 DOI: 10.1016/j.pbi.2024.102553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/08/2024] [Accepted: 05/02/2024] [Indexed: 05/25/2024]
Abstract
Polycomb Group (PcG) histone-modifying system is key in maintaining gene repression, providing a mitotically heritable cellular memory. Nevertheless, to allow plants to transition through distinct transcriptional programs during development or to respond to external cues, PcG-mediated repression requires reversibility. Several data suggest that the dynamics of PcG marks may vary considerably in different cell contexts; however, how PcG marks are established, maintained, or removed in each case is far from clear. In this review, we survey the knowns and unknowns of the molecular mechanisms underlying the maintenance or turnover of PcG marks in different cell stages.
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Affiliation(s)
- Fernando Baile
- Institute of Plant Biochemistry and Photosynthesis (IBVF-CSIC-US), Avenida Américo Vespucio 49, 41092, Seville, Spain
| | - Myriam Calonje
- Institute of Plant Biochemistry and Photosynthesis (IBVF-CSIC-US), Avenida Américo Vespucio 49, 41092, Seville, Spain.
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2
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Wang G, Wang X, Li D, Yang X, Hu T, Fu J. Comparative proteomics in tall fescue to reveal underlying mechanisms for improving Photosystem II thermotolerance during heat stress memory. BMC Genomics 2024; 25:683. [PMID: 38982385 PMCID: PMC11232258 DOI: 10.1186/s12864-024-10580-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 06/28/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND The escalating impacts of global warming intensify the detrimental effects of heat stress on crop growth and yield. Among the earliest and most vulnerable sites of damage is Photosystem II (PSII). Plants exposed to recurring high temperatures develop heat stress memory, a phenomenon that enables them to retain information from previous stress events to better cope with subsequent one. Understanding the components and regulatory networks associated with heat stress memory is crucial for the development of heat-resistant crops. RESULTS Physiological assays revealed that heat priming (HP) enabled tall fescue to possess higher Photosystem II photochemical activity when subjected to trigger stress. To investigate the underlying mechanisms of heat stress memory, we performed comparative proteomic analyses on tall fescue leaves at S0 (control), R4 (primed), and S5 (triggering), using an integrated approach of Tandem Mass Tag (TMT) labeling and Liquid Chromatography-Mass Spectrometry. A total of 3,851 proteins were detected, with quantitative information available for 3,835 proteins. Among these, we identified 1,423 differentially abundant proteins (DAPs), including 526 proteins that were classified as Heat Stress Memory Proteins (HSMPs). GO and KEGG enrichment analyses revealed that the HSMPs were primarily associated with the "autophagy" in R4 and with "PSII repair", "HSP binding", and "peptidase activity" in S5. Notably, we identified 7 chloroplast-localized HSMPs (HSP21, DJC77, EGY3, LHCA4, LQY1, PSBR and DEGP8, R4/S0 > 1.2, S5/S0 > 1.2), which were considered to be effectors linked to PSII heat stress memory, predominantly in cluster 4. Protein-protein interaction (PPI) analysis indicated that the ubiquitin-proteasome system, with key nodes at UPL3, RAD23b, and UCH3, might play a role in the selective retention of memory effectors in the R4 stage. Furthermore, we conducted RT-qPCR validation on 12 genes, and the results showed that in comparison to the S5 stage, the R4 stage exhibited reduced consistency between transcript and protein levels, providing additional evidence for post-transcriptional regulation in R4. CONCLUSIONS These findings provide valuable insights into the establishment of heat stress memory under recurring high-temperature episodes and offer a conceptual framework for breeding thermotolerant crops with improved PSII functionality.
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Affiliation(s)
- Guangyang Wang
- School of Resources and Environmental Engineering, Ludong University, Yantai City, 264025, China
| | - Xiulei Wang
- Urban Management Bureau, Taiqian County, Puyang City, 457600, China
| | - Dongli Li
- School of Resources and Environmental Engineering, Ludong University, Yantai City, 264025, China
| | - Xuehe Yang
- School of Resources and Environmental Engineering, Ludong University, Yantai City, 264025, China
| | - Tao Hu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou city, 730020, China.
| | - Jinmin Fu
- School of Resources and Environmental Engineering, Ludong University, Yantai City, 264025, China.
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Shivaprasad KM, Dikshit HK, Mishra GP, Sinha SK, Aski M, Kohli M, Mishra DC, Singh AK, Gupta S, Singh A, Tripathi K, Kumar RR, Kumar A, Jha GK, Kumar S, Varshney RK. Delineation of loci governing an extra-earliness trait in lentil (Lens culinaris Medik.) using the QTL-Seq approach. PLANT BIOTECHNOLOGY JOURNAL 2024. [PMID: 38923713 DOI: 10.1111/pbi.14415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 04/18/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024]
Abstract
Developing early maturing lentil has the potential to minimize yield losses, mainly during terminal drought. Whole-genome resequencing (WGRS) based QTL-seq identified the loci governing earliness in lentil. The genetic analysis for maturity duration provided a good fit to 3:1 segregation (F2), indicating earliness as a recessive trait. WGRS of Globe Mutant (late parent), late-flowering, and early-flowering bulks (from RILs) has generated 1124.57, 1052.24 million raw and clean reads, respectively. The QTL-Seq identified three QTLs (LcqDTF3.1, LcqDTF3.2, and LcqDTF3.3) on chromosome 3 having 246244 SNPs and 15577 insertions/deletions (InDels) and 13 flowering pathway genes. Of these, 11 exhibited sequence variations between bulks and validation (qPCR) revealed a significant difference in the expression of nine candidate genes (LcGA20oxG, LcFRI, LcLFY, LcSPL13a, Lcu.2RBY.3g060720, Lcu.2RBY.3g062540, Lcu.2RBY.3g062760, LcELF3a, and LcEMF1). Interestingly, the LcELF3a gene showed significantly higher expression in late-flowering genotype and exhibited substantial involvement in promoting lateness. Subsequently, an InDel marker (I-SP-383.9; LcELF3a gene) developed from LcqDTF3.2 QTL region showed 82.35% PVE (phenotypic variation explained) for earliness. The cloning, sequencing, and comparative analysis of the LcELF3a gene from both parents revealed 23 SNPs and InDels. Interestingly, a 52 bp deletion was recorded in the LcELF3a gene of L4775, predicted to cause premature termination of protein synthesis after 4 missense amino acids beyond the 351st amino acid due to the frameshift during translation. The identified InDel marker holds significant potential for breeding early maturing lentil varieties.
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Affiliation(s)
- Kumbarahally Murthigowda Shivaprasad
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
- Indian Council of Forestry Research and Education (ICFRE)-Institute of Forest Biodiversity, Hyderabad, India
| | - Harsh K Dikshit
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Gyan Prakash Mishra
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Subodh Kumar Sinha
- Indian Council of Agricultural Research (ICAR)-National Institute for Plant Biotechnology, New Delhi, India
| | - Muraleedhar Aski
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Manju Kohli
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Dwijesh C Mishra
- Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Amit Kumar Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, India
| | - Soma Gupta
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Akanksha Singh
- South Asia and China Program, International Center for Agricultural Research in the Dry Areas, National Agriculture Science Complex, New Delhi, India
| | - Kuldeep Tripathi
- Germplasm Evaluation Division, National Bureau of Plant Genetic Resources, New Delhi, India
| | - Ranjeet Ranjan Kumar
- Division of Biochemistry, Indian Agricultural Research Institute, New Delhi, India
| | - Atul Kumar
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, India
| | - Girish Kumar Jha
- Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Shiv Kumar
- South Asia and China Program, International Center for Agricultural Research in the Dry Areas, National Agriculture Science Complex, New Delhi, India
| | - Rajeev K Varshney
- Centre for Crop & Food Innovation, State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
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Kumar K, Kumari A, Durgesh K, Sevanthi AM, Sharma S, Singh NK, Gaikwad K. Identification of superior haplotypes for flowering time in pigeonpea through candidate gene-based association study of a diverse minicore collection. PLANT CELL REPORTS 2024; 43:156. [PMID: 38819495 DOI: 10.1007/s00299-024-03230-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 05/05/2024] [Indexed: 06/01/2024]
Abstract
KEY MESSAGE In current study candidate gene (261 genes) based association mapping on 144 pigeonpea accessions for flowering time and related traits and 29 MTAs producing eight superior haplotypes were identified. In the current study, we have conducted an association analysis for flowering-associated traits in a diverse pigeonpea mini-core collection comprising 144 accessions using the SNP data of 261 flowering-related genes. In total, 13,449 SNPs were detected in the current study, which ranged from 743 (ICP10228) to 1469 (ICP6668) among the individuals. The nucleotide diversity (0.28) and Watterson estimates (0.34) reflected substantial diversity, while Tajima's D (-0.70) indicated the abundance of rare alleles in the collection. A total of 29 marker trait associations (MTAs) were identified, among which 19 were unique to days to first flowering (DOF) and/or days to fifty percent flowering (DFF), 9 to plant height (PH), and 1 to determinate (Det) growth habit using 3 years of phenotypic data. Among these MTAs, six were common to DOF and/or DFF, and four were common to DOF/DFF along with the PH, reflecting their pleiotropic action. These 29 MTAs spanned 25 genes, among which 10 genes clustered in the protein-protein network analysis, indicating their concerted involvement in floral induction. Furthermore, we identified eight haplotypes, four of which regulate late flowering, while the remaining four regulate early flowering using the MTAs. Interestingly, haplotypes conferring late flowering (H001, H002, and H008) were found to be taller, while those involved in early flowering (H003) were shorter in height. The expression pattern of these genes, as inferred from the transcriptome data, also underpinned their involvement in floral induction. The haplotypes identified will be highly useful to the pigeonpea breeding community for haplotype-based breeding.
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Affiliation(s)
- Kuldeep Kumar
- ICAR-National Institute for Plant Biotechnology, Pusa, New Delhi, India
- ICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India
- The Graduate School, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi, India
| | - Anita Kumari
- Department of Botany, North Campus, University of Delhi, Delhi, New Delhi, India
| | - Kumar Durgesh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi, India
| | | | - Sandhya Sharma
- ICAR-National Institute for Plant Biotechnology, Pusa, New Delhi, India
| | | | - Kishor Gaikwad
- ICAR-National Institute for Plant Biotechnology, Pusa, New Delhi, India.
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Müller M, Leuschner C, Weithmann G, Weigel R, Banzragch BE, Steiner W, Gailing O. A genome-wide genetic association study reveals SNPs significantly associated with environmental variables and specific leaf area in European beech. PHYSIOLOGIA PLANTARUM 2024; 176:e14334. [PMID: 38705836 DOI: 10.1111/ppl.14334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/19/2024] [Accepted: 04/25/2024] [Indexed: 05/07/2024]
Abstract
European beech is negatively affected by climate change and a further growth decline is predicted for large parts of its distribution range. Despite the importance of this species, little is known about its genetic adaptation and especially the genetic basis of its physiological traits. Here, we used genotyping by sequencing to identify SNPs in 43 German European beech populations growing under different environmental conditions. In total, 28 of these populations were located along a precipitation and temperature gradient in northern Germany, and single tree-based hydraulic and morphological traits were available. We obtained a set of 13,493 high-quality SNPs that were used for environmental and SNP-trait association analysis. In total, 22 SNPs were identified that were significantly associated with environmental variables or specific leaf area (SLA). Several SNPs were located in genes related to stress response. The majority of the significant SNPs were located in non-coding (intergenic and intronic) regions. These may be in linkage disequilibrium with the causative coding or regulatory regions. Our study gives insights into the genetic basis of abiotic adaptation in European beech, and provides genetic resources that can be used in future studies on this species. Besides clear patterns of local adaptation to environmental conditions of the investigated populations, the analyzed morphological and hydraulic traits explained most of the explainable genetic variation. Thus, they could successfully be altered in tree breeding programs, which may help to increase the adaptation of European beech to changing environmental conditions in the future.
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Affiliation(s)
- Markus Müller
- University of Göttingen, Forest Genetics and Forest Tree Breeding, Göttingen, Germany
- Center for Integrated Breeding Research (CiBreed), University of Goettingen, Göttingen, Germany
| | - Christoph Leuschner
- Department Plant Ecology and Ecosystems Research, University of Göttingen, Göttingen, Germany
- Center of Sustainable Land Use (CBL), Georg-August-University Göttingen, Göttingen, Germany
| | - Greta Weithmann
- Department Plant Ecology and Ecosystems Research, University of Göttingen, Göttingen, Germany
| | - Robert Weigel
- Department Plant Ecology and Ecosystems Research, University of Göttingen, Göttingen, Germany
- Ecological-Botanical Garden, University of Bayreuth, Bayreuth, Germany
| | - Bat-Enerel Banzragch
- Department Plant Ecology and Ecosystems Research, University of Göttingen, Göttingen, Germany
- Applied Vegetation Ecology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | - Wilfried Steiner
- Department Forest Genetic Resources, Northwest German Forest Research Institute, Hann. Münden, Germany
| | - Oliver Gailing
- University of Göttingen, Forest Genetics and Forest Tree Breeding, Göttingen, Germany
- Center for Integrated Breeding Research (CiBreed), University of Goettingen, Göttingen, Germany
- Center of Sustainable Land Use (CBL), Georg-August-University Göttingen, Göttingen, Germany
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6
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Mauceri A, Puccio G, Faddetta T, Abbate L, Polito G, Caldiero C, Renzone G, Lo Pinto M, Alibrandi P, Vaccaro E, Abenavoli MR, Scaloni A, Sunseri F, Cavalieri V, Palumbo Piccionello A, Gallo G, Mercati F. Integrated omics approach reveals the molecular pathways activated in tomato by Kocuria rhizophila, a soil plant growth-promoting bacterium. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2024; 210:108609. [PMID: 38615442 DOI: 10.1016/j.plaphy.2024.108609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/27/2024] [Accepted: 04/04/2024] [Indexed: 04/16/2024]
Abstract
Plant microbial biostimulants application has become a promising and eco-friendly agricultural strategy to improve crop yields, reducing chemical inputs for more sustainable cropping systems. The soil dwelling bacterium Kocuria rhizophila was previously characterized as Plant Growth Promoting Bacteria (PGPB) for its multiple PGP traits, such as indole-3-acetic acid production, phosphate solubilization capability and salt and drought stress tolerance. Here, we evaluated by a multi-omics approach, the PGP activity of K. rhizophila on tomato, revealing the molecular pathways by which it promotes plant growth. Transcriptomic analysis showed several up-regulated genes mainly related to amino acid metabolism, cell wall organization, lipid and secondary metabolism, together with a modulation in the DNA methylation profile, after PGPB inoculation. In agreement, proteins involved in photosynthesis, cell division, and plant growth were highly accumulated by K. rhizophila. Furthermore, "amino acid and peptides", "monosaccharides", and "TCA" classes of metabolites resulted the most affected by PGPB treatment, as well as dopamine, a catecholamine neurotransmitter mediating plant growth through S-adenosylmethionine decarboxylase (SAMDC), a gene enhancing the vegetative growth, up-regulated in tomato by K. rhizophila treatment. Interestingly, eight gene modules well correlated with differentially accumulated proteins (DAPs) and metabolites (DAMs), among which two modules showed the highest correlation with nine proteins, including a nucleoside diphosphate kinase, and cytosolic ascorbate peroxidase, as well as with several amino acids and metabolites involved in TCA cycle. Overall, our findings highlighted that sugars and amino acids, energy regulators, involved in tomato plant growth, were strongly modulated by the K. rhizophila-plant interaction.
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Affiliation(s)
- Antonio Mauceri
- University Mediterranea of Reggio Calabria, AGRARIA Department, Località Feo di Vito, 89122, Reggio Calabria, Italy
| | - Guglielmo Puccio
- National Research Council, Institute of Biosciences and Bioresources (IBBR), Via Ugo La Malfa 153, 90146, Palermo, Italy; University of Palermo, SAAF Department, Viale Delle Scienze, 90128, Palermo, Italy
| | - Teresa Faddetta
- University of Palermo, STEBICEF Department, Viale Delle Scienze, 90128, Palermo, Italy
| | - Loredana Abbate
- National Research Council, Institute of Biosciences and Bioresources (IBBR), Via Ugo La Malfa 153, 90146, Palermo, Italy
| | - Giulia Polito
- University of Palermo, STEBICEF Department, Viale Delle Scienze, 90128, Palermo, Italy
| | - Ciro Caldiero
- University Mediterranea of Reggio Calabria, AGRARIA Department, Località Feo di Vito, 89122, Reggio Calabria, Italy
| | - Giovanni Renzone
- National Research Council, Proteomics, Metabolomics and Mass Spectrometry Laboratory (ISPAAM), Piazzale E. Fermi 1, 80055, Portici, (Napoli), Italy
| | - Margot Lo Pinto
- University of Palermo, STEBICEF Department, Viale Delle Scienze, 90128, Palermo, Italy
| | - Pasquale Alibrandi
- Mugavero Teresa S.A.S., Corso Umberto e Margherita 1B, 90018, Termini Imerese, (Palermo), Italy
| | - Edoardo Vaccaro
- Mugavero Teresa S.A.S., Corso Umberto e Margherita 1B, 90018, Termini Imerese, (Palermo), Italy
| | - Maria Rosa Abenavoli
- University Mediterranea of Reggio Calabria, AGRARIA Department, Località Feo di Vito, 89122, Reggio Calabria, Italy
| | - Andrea Scaloni
- National Research Council, Proteomics, Metabolomics and Mass Spectrometry Laboratory (ISPAAM), Piazzale E. Fermi 1, 80055, Portici, (Napoli), Italy
| | - Francesco Sunseri
- University Mediterranea of Reggio Calabria, AGRARIA Department, Località Feo di Vito, 89122, Reggio Calabria, Italy
| | - Vincenzo Cavalieri
- University of Palermo, STEBICEF Department, Viale Delle Scienze, 90128, Palermo, Italy
| | | | - Giuseppe Gallo
- University of Palermo, STEBICEF Department, Viale Delle Scienze, 90128, Palermo, Italy; NBFC, National Biodiversity Future Center, Piazza Marina 61, 90133, Palermo, Italy
| | - Francesco Mercati
- National Research Council, Institute of Biosciences and Bioresources (IBBR), Via Ugo La Malfa 153, 90146, Palermo, Italy.
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Liang Z, Xi N, Liu T, Li M, Sang M, Zou C, Chen Z, Yuan G, Pan G, Ma L, Shen Y. A combination of QTL mapping and genome-wide association study revealed the key gene for husk number in maize. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:112. [PMID: 38662228 DOI: 10.1007/s00122-024-04617-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/07/2024] [Indexed: 04/26/2024]
Abstract
KEY MESSAGE Two key genes Zm00001d021232 and Zm00001d048138 were identified by QTL mapping and GWAS. Additionally, they were verified to be significantly associated with maize husk number (HN) using gene-based association study. As a by-product of maize production, maize husk is an important industrial raw material. Husk layer number (HN) is an important trait that affects the yield of maize husk. However, the genetic mechanism underlying HN remains unclear. Herein, a total of 13 quantitative trait loci (QTL) controlling HN were identified in an IBM Syn 10 DH population across different locations. Among these, three QTL were individually repeatedly detected in at least two environments. Meanwhile, 26 unique single nucleotide polymorphisms (SNPs) were detected to be significantly (p < 2.15 × 10-6) associated with HN in an association pool. Of these SNPs, three were simultaneously detected across multiple environments or environments and best linear unbiased prediction (BLUP). We focused on these environment-stable and population-common genetic loci for excavating the candidate genes responsible for maize HN. Finally, 173 initial candidate genes were identified, of which 22 were involved in both multicellular organism development and single-multicellular organism process and thus confirmed as the candidate genes for HN. Gene-based association analyses revealed that the variants in four genes were significantly (p < 0.01/N) correlated with HN, of which Zm00001d021232 and Zm00001d048138 were highly expressed in husks and early developing ears among different maize tissues. Our study contributes to the understanding of genetic and molecular mechanisms of maize husk yield and industrial development in the future.
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Affiliation(s)
- Zhenjuan Liang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Na Xi
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Tao Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Minglin Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Mengxiang Sang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Chaoying Zou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Zhong Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Guangsheng Yuan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Guangtang Pan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Langlang Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yaou Shen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
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Zhang H, Zhou Z, Guo J. The Function, Regulation, and Mechanism of Protein Turnover in Circadian Systems in Neurospora and Other Species. Int J Mol Sci 2024; 25:2574. [PMID: 38473819 DOI: 10.3390/ijms25052574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/18/2024] [Accepted: 02/20/2024] [Indexed: 03/14/2024] Open
Abstract
Circadian clocks drive a large array of physiological and behavioral activities. At the molecular level, circadian clocks are composed of positive and negative elements that form core oscillators generating the basic circadian rhythms. Over the course of the circadian period, circadian negative proteins undergo progressive hyperphosphorylation and eventually degrade, and their stability is finely controlled by complex post-translational pathways, including protein modifications, genetic codon preference, protein-protein interactions, chaperon-dependent conformation maintenance, degradation, etc. The effects of phosphorylation on the stability of circadian clock proteins are crucial for precisely determining protein function and turnover, and it has been proposed that the phosphorylation of core circadian clock proteins is tightly correlated with the circadian period. Nonetheless, recent studies have challenged this view. In this review, we summarize the research progress regarding the function, regulation, and mechanism of protein stability in the circadian clock systems of multiple model organisms, with an emphasis on Neurospora crassa, in which circadian mechanisms have been extensively investigated. Elucidation of the highly complex and dynamic regulation of protein stability in circadian clock networks would greatly benefit the integrated understanding of the function, regulation, and mechanism of protein stability in a wide spectrum of other biological processes.
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Affiliation(s)
- Haoran Zhang
- MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Zengxuan Zhou
- MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Jinhu Guo
- MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
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9
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Knoch D, Meyer RC, Heuermann MC, Riewe D, Peleke FF, Szymański J, Abbadi A, Snowdon RJ, Altmann T. Integrated multi-omics analyses and genome-wide association studies reveal prime candidate genes of metabolic and vegetative growth variation in canola. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 117:713-728. [PMID: 37964699 DOI: 10.1111/tpj.16524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 10/17/2023] [Accepted: 10/23/2023] [Indexed: 11/16/2023]
Abstract
Genome-wide association studies (GWAS) identified thousands of genetic loci associated with complex plant traits, including many traits of agronomical importance. However, functional interpretation of GWAS results remains challenging because of large candidate regions due to linkage disequilibrium. High-throughput omics technologies, such as genomics, transcriptomics, proteomics and metabolomics open new avenues for integrative systems biological analyses and help to nominate systems information supported (prime) candidate genes. In the present study, we capitalise on a diverse canola population with 477 spring-type lines which was previously analysed by high-throughput phenotyping of growth-related traits and by RNA sequencing and metabolite profiling for multi-omics-based hybrid performance prediction. We deepened the phenotypic data analysis, now providing 123 time-resolved image-based traits, to gain insight into the complex relations during early vegetative growth and reanalysed the transcriptome data based on the latest Darmor-bzh v10 genome assembly. Genome-wide association testing revealed 61 298 robust quantitative trait loci (QTL) including 187 metabolite QTL, 56814 expression QTL and 4297 phenotypic QTL, many clustered in pronounced hotspots. Combining information about QTL colocalisation across omics layers and correlations between omics features allowed us to discover prime candidate genes for metabolic and vegetative growth variation. Prioritised candidate genes for early biomass accumulation include A06p05760.1_BnaDAR (PIAL1), A10p16280.1_BnaDAR, C07p48260.1_BnaDAR (PRL1) and C07p48510.1_BnaDAR (CLPR4). Moreover, we observed unequal effects of the Brassica A and C subgenomes on early biomass production.
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Affiliation(s)
- Dominic Knoch
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Corrensstrasse 3, Seeland OT, Gatersleben, Germany
| | - Rhonda C Meyer
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Corrensstrasse 3, Seeland OT, Gatersleben, Germany
| | - Marc C Heuermann
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Corrensstrasse 3, Seeland OT, Gatersleben, Germany
| | - David Riewe
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Corrensstrasse 3, Seeland OT, Gatersleben, Germany
- Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Ecological Chemistry, Plant Analysis and Stored Product Protection, 14195, Berlin, Germany
| | - Fritz F Peleke
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Corrensstrasse 3, Seeland OT, Gatersleben, Germany
| | - Jędrzej Szymański
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Corrensstrasse 3, Seeland OT, Gatersleben, Germany
- Institute of Bio- and Geosciences IBG-4: Bioinformatics, Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Amine Abbadi
- NPZ Innovation GmbH, Hohenlieth, 24363, Holtsee, Germany
- Norddeutsche Pflanzenzucht Hans-Georg Lembke KG, Hohenlieth, 24363, Holtsee, Germany
| | - Rod J Snowdon
- Department of Plant Breeding, Research Centre for Biosystems, Land Use and Nutrition (iFZ), Justus-Liebig-University Giessen, 35392, Giessen, Germany
| | - Thomas Altmann
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Corrensstrasse 3, Seeland OT, Gatersleben, Germany
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10
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Liu H, Zheng Z, Sun Z, Qi F, Wang J, Wang M, Dong W, Cui K, Zhao M, Wang X, Zhang M, Wu X, Wu Y, Luo D, Huang B, Zhang Z, Cao G, Zhang X. Identification of two major QTLs for pod shell thickness in peanut (Arachis hypogaea L.) using BSA-seq analysis. BMC Genomics 2024; 25:65. [PMID: 38229017 DOI: 10.1186/s12864-024-10005-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 01/11/2024] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Pod shell thickness (PST) is an important agronomic trait of peanut because it affects the ability of shells to resist pest infestations and pathogen attacks, while also influencing the peanut shelling process. However, very few studies have explored the genetic basis of PST. RESULTS An F2 segregating population derived from a cross between the thick-shelled cultivar Yueyou 18 (YY18) and the thin-shelled cultivar Weihua 8 (WH8) was used to identify the quantitative trait loci (QTLs) for PST. On the basis of a bulked segregant analysis sequencing (BSA-seq), four QTLs were preliminarily mapped to chromosomes 3, 8, 13, and 18. Using the genome resequencing data of YY18 and WH8, 22 kompetitive allele-specific PCR (KASP) markers were designed for the genotyping of the F2 population. Two major QTLs (qPSTA08 and qPSTA18) were identified and finely mapped, with qPSTA08 detected on chromosome 8 (0.69-Mb physical genomic region) and qPSTA18 detected on chromosome 18 (0.15-Mb physical genomic region). Moreover, qPSTA08 and qPSTA18 explained 31.1-32.3% and 16.7-16.8% of the phenotypic variation, respectively. Fifteen genes were detected in the two candidate regions, including three genes with nonsynonymous mutations in the exon region. Two molecular markers (Tif2_A08_31713024 and Tif2_A18_7198124) that were developed for the two major QTL regions effectively distinguished between thick-shelled and thin-shelled materials. Subsequently, the two markers were validated in four F2:3 lines selected. CONCLUSIONS The QTLs identified and molecular markers developed in this study may lay the foundation for breeding cultivars with a shell thickness suitable for mechanized peanut shelling.
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Affiliation(s)
- Hongfei Liu
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450002, China
| | - Zheng Zheng
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450002, China
| | - Ziqi Sun
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Feiyan Qi
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Juan Wang
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Mengmeng Wang
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Wenzhao Dong
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Kailu Cui
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Mingbo Zhao
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450002, China
| | - Xiao Wang
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Meng Zhang
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Xiaohui Wu
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Yue Wu
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450002, China
| | - Dandan Luo
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450002, China
| | - Bingyan Huang
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Zhongxin Zhang
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China
| | - Gangqiang Cao
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450002, China.
| | - Xinyou Zhang
- Institute of Crop Molecular Breeding, The Shennong Laboraory, Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Henan Provincial Key Laboratory for Oil Crops Improvement, Postgraduate T&R Base of Zhengzhou University, Henan Academy of Agricultural Sciences, Ministry of Agriculture, Zhengzhou, 450002, China.
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450002, China.
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11
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Frachon L, Schiestl FP. Rapid genomic evolution in Brassica rapa with bumblebee selection in experimental evolution. BMC Ecol Evol 2024; 24:7. [PMID: 38195402 PMCID: PMC10775529 DOI: 10.1186/s12862-023-02194-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/20/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Insect pollinators shape rapid phenotypic evolution of traits related to floral attractiveness and plant reproductive success. However, the underlying genomic changes remain largely unknown despite their importance in predicting adaptive responses to natural or to artificial selection. Based on a nine-generation experimental evolution study with fast cycling Brassica rapa plants adapting to bumblebees, we investigate the genomic evolution associated with the previously observed parallel phenotypic evolution. In this current evolve and resequencing (E&R) study, we conduct a genomic scan of the allele frequency changes along the genome in bumblebee-pollinated and hand-pollinated plants and perform a genomic principal component analysis (PCA). RESULTS We highlight rapid genomic evolution associated with the observed phenotypic evolution mediated by bumblebees. Controlling for genetic drift, we observe significant changes in allelic frequencies at multiple loci. However, this pattern differs according to the replicate of bumblebee-pollinated plants, suggesting putative non-parallel genomic evolution. Finally, our study underlines an increase in genomic variance implying the putative involvement of multiple loci in short-term pollinator adaptation. CONCLUSIONS Overall, our study enhances our understanding of the complex interactions between pollinator and plants, providing a stepping stone towards unravelling the genetic basis of plant genomic adaptation to biotic factors in the environment.
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Affiliation(s)
- Léa Frachon
- Department of Systematic and Evolutionary Botany, University of Zürich, Zürich, Switzerland.
| | - Florian P Schiestl
- Department of Systematic and Evolutionary Botany, University of Zürich, Zürich, Switzerland
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12
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Arif MAR, Tripodi P, Waheed MQ, Afzal I, Pistrick S, Schütze G, Börner A. Genetic Analyses of Seed Longevity in Capsicum annuum L. in Cold Storage Conditions. PLANTS (BASEL, SWITZERLAND) 2023; 12:1321. [PMID: 36987009 PMCID: PMC10057624 DOI: 10.3390/plants12061321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/06/2023] [Accepted: 03/13/2023] [Indexed: 06/19/2023]
Abstract
Seed longevity is the most important trait in the genebank management system. No seed can remain infinitely viable. There are 1241 accessions of Capsicum annuum L. available at the German Federal ex situ genebank at IPK Gatersleben. C. annuum (Capsicum) is the most economically important species of the genus Capsicum. So far, there is no report that has addressed the genetic basis of seed longevity in Capsicum. Here, we convened a total of 1152 Capsicum accessions that were deposited in Gatersleben over forty years (from 1976 to 2017) and assessed their longevity by analyzing the standard germination percentage after 5-40 years of storage at -15/-18 °C. These data were used to determine the genetic causes of seed longevity, along with 23,462 single nucleotide polymorphism (SNP) markers covering all of the 12 Capsicum chromosomes. Using the association-mapping approach, we identified a total of 224 marker trait associations (MTAs) (34, 25, 31, 35, 39, 7, 21 and 32 MTAs after 5-, 10-, 15-, 20-, 25-, 30-, 35- and 40-year storage intervals) on all the Capsicum chromosomes. Several candidate genes were identified using the blast analysis of SNPs, and these candidate genes are discussed.
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Affiliation(s)
| | - Pasquale Tripodi
- Research Centre for Vegetable and Ornamental Crops, Council for Agricultural Research and Economics (CREA), 84098 Pontecagnano Faiano, Italy
| | | | - Irfan Afzal
- Seed Physiology Lab, Department of Agronomy, University of Agriculture, Faisalabad 38000, Pakistan
| | - Sibylle Pistrick
- Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstr. 3, 06466 Seeland, Germany
| | - Gudrun Schütze
- Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstr. 3, 06466 Seeland, Germany
| | - Andreas Börner
- Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstr. 3, 06466 Seeland, Germany
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13
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Luo R, Yang K, Xiao W. Plant deubiquitinases: from structure and activity to biological functions. PLANT CELL REPORTS 2023; 42:469-486. [PMID: 36567335 DOI: 10.1007/s00299-022-02962-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
This article attempts to provide comprehensive review of plant deubiquitinases, paying special attention to recent advances in their biochemical activities and biological functions. Proteins in eukaryotes are subjected to post-translational modifications, in which ubiquitination is regarded as a reversible process. Cellular deubiquitinases (DUBs) are a key component of the ubiquitin (Ub)-proteasome system responsible for cellular protein homeostasis. DUBs recycle Ub by hydrolyzing poly-Ub chains on target proteins, and maintain a balance of the cellular Ub pool. In addition, some DUBs prefer to cleave poly-Ub chains not linked through the conventional K48 residue, which often alter the substrate activity instead of its stability. In plants, all seven known DUB subfamilies have been identified, namely Ub-binding protease/Ub-specific protease (UBP/USP), Ub C-terminal hydrolase (UCH), Machado-Joseph domain-containing protease (MJD), ovarian-tumor domain-containing protease (OTU), zinc finger with UFM1-specific peptidase domain protease (ZUFSP), motif interacting with Ub-containing novel DUB family (MINDY), and JAB1/MPN/MOV34 protease (JAMM). This review focuses on recent advances in the structure, activity, and biological functions of plant DUBs, particularly in the model plant Arabidopsis.
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Affiliation(s)
- Runbang Luo
- Beijing Key Laboratory of DNA Damage Responses and College of Life Sciences, Capital Normal University, Beijing, 100048, China
- Department of Biochemistry, Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK, S7N 5E5, Canada
| | - Kun Yang
- Beijing Key Laboratory of DNA Damage Responses and College of Life Sciences, Capital Normal University, Beijing, 100048, China
- Department of Biochemistry, Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK, S7N 5E5, Canada
| | - Wei Xiao
- Beijing Key Laboratory of DNA Damage Responses and College of Life Sciences, Capital Normal University, Beijing, 100048, China.
- Department of Biochemistry, Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK, S7N 5E5, Canada.
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14
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Dutta H, K. M. S, Aski MS, Mishra GP, Sinha SK, Vijay D, C. T. MP, Das S, Pawar PAM, Mishra DC, Singh AK, Kumar A, Tripathi K, Kumar RR, Gupta S, Kumar S, Dikshit HK. Morpho-biochemical characterization of a RIL population for seed parameters and identification of candidate genes regulating seed size trait in lentil ( Lens culinaris Medik.). FRONTIERS IN PLANT SCIENCE 2023; 14:1091432. [PMID: 36875597 PMCID: PMC9975752 DOI: 10.3389/fpls.2023.1091432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
The seed size and shape in lentil (Lens culinaris Medik.) are important quality traits as these influences the milled grain yield, cooking time, and market class of the grains. Linkage analysis was done for seed size in a RIL (F5:6) population derived by crossing L830 (20.9 g/1000 seeds) with L4602 (42.13 g/1000 seeds) which consisted of 188 lines (15.0 to 40.5 g/1000 seeds). Parental polymorphism survey using 394 SSRs identified 31 polymorphic primers, which were used for the bulked segregant analysis (BSA). Marker PBALC449 differentiated the parents and small seed size bulk only, whereas large seeded bulk or the individual plants constituting the large-seeded bulk could not be differentiated. Single plant analysis identified only six recombinant and 13 heterozygotes, of 93 small-seeded RILs (<24.0 g/1000 seed). This clearly showed that the small seed size trait is very strongly regulated by the locus near PBLAC449; whereas, large seed size trait seems governed by more than one locus. The PCR amplified products from the PBLAC449 marker (149bp from L4602 and 131bp from L830) were cloned, sequenced and BLAST searched using the lentil reference genome and was found amplified from chromosome 03. Afterward, the nearby region on chromosome 3 was searched, and a few candidate genes like ubiquitin carboxyl-terminal hydrolase, E3 ubiquitin ligase, TIFY-like protein, and hexosyltransferase having a role in seed size determination were identified. Validation study in another RIL mapping population which is differing for seed size, showed a number of SNPs and InDels among these genes when studied using whole genome resequencing (WGRS) approach. Biochemical parameters like cellulose, lignin, and xylose content showed no significant differences between parents and the extreme RILs, at maturity. Various seed morphological traits like area, length, width, compactness, volume, perimeter, etc., when measured using VideometerLab 4.0 showed significant differences for the parents and RILs. The results have ultimately helped in better understanding the region regulating the seed size trait in genomically less explored crops like lentils.
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Affiliation(s)
- Haragopal Dutta
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Shivaprasad K. M.
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Muraleedhar S. Aski
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Gyan P. Mishra
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Subodh Kumar Sinha
- Indian Council of Agricultural Research (ICAR)-National Institute for Plant Biotechnology, New Delhi, India
| | - Dunna Vijay
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, India
| | - Manjunath Prasad C. T.
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, India
| | - Shouvik Das
- Laboratory of Plant Cell Wall Biology, Regional Centre for Biotechnology, Faridabad, India
| | | | - Dwijesh C. Mishra
- Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Amit Kumar Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, India
| | - Atul Kumar
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, India
| | - Kuldeep Tripathi
- Germplasm Evaluation Division, National Bureau of Plant Genetic Resources, New Delhi, India
| | - Ranjeet Ranjan Kumar
- Division of Biochemistry, Indian Agricultural Research Institute, New Delhi, India
| | - Sanjeev Gupta
- Krishi Bhawan, Indian Council of Agricultural Research, New Delhi, India
| | - Shiv Kumar
- South Asia and China Program, International Center for Agricultural Research in the Dry Areas, National Agriculture Science Complex (NASC) Complex, New Delhi, India
| | - Harsh Kumar Dikshit
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
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15
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Wang S, Wang S, Li M, Su Y, Sun Z, Ma H. Combined transcriptome and metabolome analysis of Nerium indicum L. elaborates the key pathways that are activated in response to witches' broom disease. BMC PLANT BIOLOGY 2022; 22:291. [PMID: 35701735 PMCID: PMC9199210 DOI: 10.1186/s12870-022-03672-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 05/27/2022] [Indexed: 05/06/2023]
Abstract
BACKGROUND Nerium indicum Mill. is an ornamental plant that is found in parks, riversides, lakesides, and scenic areas in China and other parts of the world. Our recent survey indicated the prevalence of witches' broom disease (WBD) in Guangdong, China. To find out the possible defense strategies against WBD, we performed a MiSeq based ITS sequencing to identify the possible casual organism, then did a de novo transcriptome sequencing and metabolome profiling in the phloem and stem tip of N. indicum plants suffering from WBD compared to healthy ones. RESULTS The survey showed that Wengyuen county and Zengcheng district had the highest disease incidence rates. The most prevalent microbial species in the diseased tissues was Cophinforma mamane. The transcriptome sequencing resulted in the identification of 191,224 unigenes of which 142,396 could be annotated. There were 19,031 and 13,284 differentially expressed genes (DEGs) between diseased phloem (NOWP) and healthy phloem (NOHP), and diseased stem (NOWS) and healthy stem (NOHS), respectively. The DEGs were enriched in MAPK-signaling (plant), plant-pathogen interaction, plant-hormone signal transduction, phenylpropanoid and flavonoid biosynthesis, linoleic acid and α-linoleic acid metabolism pathways. Particularly, we found that N. indicum plants activated the phytohormone signaling, MAPK-signaling cascade, defense related proteins, and the biosynthesis of phenylpropanoids and flavonoids as defense responses to the pathogenic infection. The metabolome profiling identified 586 metabolites of which 386 and 324 metabolites were differentially accumulated in NOHP vs NOWP and NOHS and NOWS, respectively. The differential accumulation of metabolites related to phytohormone signaling, linoleic acid metabolism, phenylpropanoid and flavonoid biosynthesis, nicotinate and nicotinamide metabolism, and citrate cycle was observed, indicating the role of these pathways in defense responses against the pathogenic infection. CONCLUSION Our results showed that Guangdong province has a high incidence of WBD in most of the surveyed areas. C. mamane is suspected to be the causing pathogen of WBD in N. indicum. N. indicum initiated the MAPK-signaling cascade and phytohormone signaling, leading to the activation of pathogen-associated molecular patterns and hypersensitive response. Furthermore, N. indicum accumulated high concentrations of phenolic acids, coumarins and lignans, and flavonoids under WBD. These results provide scientific tools for the formulation of control strategies of WBD in N. indicum.
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Affiliation(s)
- Shengjie Wang
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Shengkun Wang
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Ming Li
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Yuhang Su
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Zhan Sun
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Haibin Ma
- The Key Laboratory of National Forestry and Grassland Administration for Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China.
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16
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The Rice Serine/Arginine Splicing Factor RS33 Regulates Pre-mRNA Splicing during Abiotic Stress Responses. Cells 2022; 11:cells11111796. [PMID: 35681491 PMCID: PMC9180459 DOI: 10.3390/cells11111796] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/27/2022] [Accepted: 05/07/2022] [Indexed: 02/06/2023] Open
Abstract
Abiotic stresses profoundly affect plant growth and development and limit crop productivity. Pre-mRNA splicing is a major form of gene regulation that helps plants cope with various stresses. Serine/arginine (SR)-rich splicing factors play a key role in pre-mRNA splicing to regulate different biological processes under stress conditions. Alternative splicing (AS) of SR transcripts and other transcripts of stress-responsive genes generates multiple splice isoforms that contribute to protein diversity, modulate gene expression, and affect plant stress tolerance. Here, we investigated the function of the plant-specific SR protein RS33 in regulating pre-mRNA splicing and abiotic stress responses in rice. The loss-of-function mutant rs33 showed increased sensitivity to salt and low-temperature stresses. Genome-wide analyses of gene expression and splicing in wild-type and rs33 seedlings subjected to these stresses identified multiple splice isoforms of stress-responsive genes whose AS are regulated by RS33. The number of RS33-regulated genes was much higher under low-temperature stress than under salt stress. Our results suggest that the plant-specific splicing factor RS33 plays a crucial role during plant responses to abiotic stresses.
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17
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Schwechheimer C, Schröder PM, Blaby-Haas CE. Plant GATA Factors: Their Biology, Phylogeny, and Phylogenomics. ANNUAL REVIEW OF PLANT BIOLOGY 2022; 73:123-148. [PMID: 35130446 DOI: 10.1146/annurev-arplant-072221-092913] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
GATA factors are evolutionarily conserved transcription factors that are found in animals, fungi, and plants. Compared to that of animals, the size of the plant GATA family is increased. In angiosperms, four main GATA classes and seven structural subfamilies can be defined. In recent years, knowledge about the biological role and regulation of plant GATAs has substantially improved. Individual family members have been implicated in the regulation of photomorphogenic growth, chlorophyll biosynthesis, chloroplast development, photosynthesis, and stomata formation, as well as root, leaf, and flower development. In this review, we summarize the current knowledge of plant GATA factors. Using phylogenomic analysis, we trace the evolutionary origin of the GATA classes in the green lineage and examine their relationship to animal and fungal GATAs. Finally, we speculate about a possible conservation of GATA-regulated functions across the animal, fungal, and plant kingdoms.
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Affiliation(s)
- Claus Schwechheimer
- School of Life Sciences, Plant Systems Biology, Technical University of Munich, Freising, Germany;
| | - Peter Michael Schröder
- School of Life Sciences, Plant Systems Biology, Technical University of Munich, Freising, Germany;
| | - Crysten E Blaby-Haas
- Biology Department, Brookhaven National Laboratory, Upton, New York, USA;
- Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, New York, USA
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18
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Chao WS, Li X, Horvath DP, Anderson JV. Genetic loci associated with freezing tolerance in a European rapeseed ( Brassica napus L.) diversity panel identified by genome-wide association mapping. PLANT DIRECT 2022; 6:e405. [PMID: 35647480 PMCID: PMC9132609 DOI: 10.1002/pld3.405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 04/07/2022] [Indexed: 06/15/2023]
Abstract
Winter biotypes of rapeseed (Brassica napus L.) require a vernalization treatment to enter the reproductive phase and generally produce greater yields than spring rapeseed. To find genetic loci associated with freezing tolerance in rapeseed, we first performed genotyping-by-sequencing (GBS) on a diversity panel consisting of 222 rapeseed accessions originating primarily from Europe, which identified 69,554 high-quality single-nucleotide polymorphisms (SNPs). Model-based cluster analysis suggested that there were eight subgroups. The diversity panel was then phenotyped for freezing survival (visual damage and Fv/Fo and Fv/Fm) after 2 months of cold acclimation (5°C) and a freezing treatment (-15°C for 4 h). The genotypic and phenotypic data for each accession in the rapeseed diversity panel was then used to conduct a genome-wide association study (GWAS). GWAS results showed that 14 significant markers were mapped to seven chromosomes for the phenotypes scored. Twenty-four candidate genes located within the mapped loci were identified as previously associated with lipid, photosynthesis, flowering, ubiquitination, and cytochrome P450 in rapeseed or other plant species.
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Affiliation(s)
- Wun S. Chao
- Edward T. Schafer Agricultural Research Center, Sunflower and Plant Biology Research UnitUSDA‐Agricultural Research ServiceFargoNorth DakotaUSA
| | - Xuehui Li
- Department of Plant SciencesNorth Dakota State UniversityFargoNorth DakotaUSA
| | - David P. Horvath
- Edward T. Schafer Agricultural Research Center, Sunflower and Plant Biology Research UnitUSDA‐Agricultural Research ServiceFargoNorth DakotaUSA
| | - James V. Anderson
- Edward T. Schafer Agricultural Research Center, Sunflower and Plant Biology Research UnitUSDA‐Agricultural Research ServiceFargoNorth DakotaUSA
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19
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Yan J, Kim YJ, Somers DE. Post-Translational Mechanisms of Plant Circadian Regulation. Genes (Basel) 2021; 12:325. [PMID: 33668215 PMCID: PMC7995963 DOI: 10.3390/genes12030325] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 02/21/2021] [Accepted: 02/22/2021] [Indexed: 12/15/2022] Open
Abstract
The molecular components of the circadian system possess the interesting feature of acting together to create a self-sustaining oscillator, while at the same time acting individually, and in complexes, to confer phase-specific circadian control over a wide range of physiological and developmental outputs. This means that many circadian oscillator proteins are simultaneously also part of the circadian output pathway. Most studies have focused on transcriptional control of circadian rhythms, but work in plants and metazoans has shown the importance of post-transcriptional and post-translational processes within the circadian system. Here we highlight recent work describing post-translational mechanisms that impact both the function of the oscillator and the clock-controlled outputs.
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Affiliation(s)
| | | | - David E. Somers
- Department of Molecular Genetics, The Ohio State University; Columbus, OH 43210, USA; (J.Y.); (Y.J.K.)
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20
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Srikanta SB, Cermakian N. To Ub or not to Ub: Regulation of circadian clocks by ubiquitination and deubiquitination. J Neurochem 2020; 157:11-30. [PMID: 32717140 DOI: 10.1111/jnc.15132] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/10/2020] [Accepted: 07/14/2020] [Indexed: 12/28/2022]
Abstract
Circadian clocks are internal timing systems that enable organisms to adjust their behavioral and physiological rhythms to the daily changes of their environment. These clocks generate self-sustained oscillations at the cellular, tissue, and behavioral level. The rhythm-generating mechanism is based on a gene expression network with a delayed negative feedback loop that causes the transcripts to oscillate with a period of approximately 24 hr. This oscillatory nature of the proteins involved in this network necessitates that they are intrinsically unstable, with a short half-life. Hence, post-translational modifications (PTMs) are important to precisely time the presence, absence, and interactions of these proteins at appropriate times of the day. Ubiquitination and deubiquitination are counter-balancing PTMs which play a key role in this regulatory process. In this review, we take a comprehensive look at the roles played by the processes of ubiquitination and deubiquitination in the clock machinery of the most commonly studied eukaryotic models of the circadian clock: plants, fungi, fruit flies, and mammals. We present the effects exerted by ubiquitinating and deubiquitinating enzymes on the stability, but also the activity, localization, and interactions of clock proteins. Overall, these PTMs have key roles in regulating not only the pace of the circadian clocks but also their response to external cues and their control of cellular functions.
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Affiliation(s)
- Shashank Bangalore Srikanta
- Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada.,Laboratory of Molecular Chronobiology, Douglas Research Centre, Montréal, QC, Canada
| | - Nicolas Cermakian
- Laboratory of Molecular Chronobiology, Douglas Research Centre, Montréal, QC, Canada.,Department of Psychiatry, McGill University, Montréal, QC, Canada
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